Run Roboflow Models on Luxonis OAK Cameras

OAK cameras put AI compute inside the camera. Roboflow gives you the models to run there: train on your own data, deploy to the device, and skip the external computer.

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Luxonis OAK Cameras AI Vision Solution

Luxonis built its OAK line around one idea: run the model on the camera itself. The new OAK 4 series (opens in a new tab) ships with a Qualcomm QCS8550 delivering up to 52 TOPS of on-device compute, and the OAK 4 D adds stereo depth. Roboflow is the model side of that equation: label your data, train a model, and deploy it to OAK hardware, all in one platform.

• Flagship: OAK 4 series, up to 52 TOPS on-camera; OAK 4 D for stereo depth

• Attributes: On-device inference, developer-friendly tooling, active community

• Connectivity: PoE and USB models

Because inference happens on the camera, OAK deployments avoid the cost and complexity of a separate edge computer. That makes them a favorite for robotics, mobile platforms, and anywhere power and space are tight. Train in Roboflow, run on OAK, and iterate as your data grows.

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Want AI without the integration work? Roboflow’s AI1 deployment device (opens in a new tab) packages onboard AI compute, integrated lighting, and an industrial camera into a plug-and-play system for real-time computer vision - no separate camera, lighting, or edge computer to spec.

AI for Luxonis OAK Cameras Workflows

Use Luxonis OAK cameras? Explore Workflows you can get started with to create computer vision apps in minutes. Train models with Roboflow and deploy them to OAK devices for on-camera inference, or run Roboflow Inference alongside OAK streams for more complex multi-model pipelines.

Deploy Object Detection Models on Edge Devices

How to Use Roboflow Models with OAK Cameras

Luxonis OAK cameras run computer vision models directly on-device through the DepthAI ecosystem. Train a model on your own images in Roboflow, export it for OAK, and run detection, segmentation, or tracking without an external computer.

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